Polymers,
Journal Year:
2024,
Volume and Issue:
16(22), P. 3170 - 3170
Published: Nov. 14, 2024
Tea
waste
contains
various
substances
with
phenolic
hydroxyl
groups,
including
lignin,
tannins,
tea
polyphenols,
etc.,
which
are
rarely
utilized.
In
this
study,
was
directly
dispersed
graphene
oxide
to
prepare
waste/reduced
(TW/rGO)
hydrogel
through
a
one-step
hydrothermal
method.
The
prepared
presented
continuous
three-dimensional
porous
structure
and
exhibited
good
mechanical
properties
compressive
strength
of
53.4
±
4.0
kPa.
It
also
showed
excellent
electrochemical
performance
as
an
electrode
material.
Its
specific
capacitance
reached
434.7
F
g−1
at
current
density
1
A
g−1,
its
retention
55.8%
when
the
increased
100
g−1.
addition,
TW/rGO
assembled
all-solid-state
supercapacitor
demonstrated
superior
372.8
competitive
energy
12.9
Wh
kg−1
To
improve
the
flavor
of
green
tea
juice
processed
from
summer
leaves,
enzyme-assisted
dynamic
extraction
method
was
applied
and
chemical
components
taste
fresh
prepared
under
different
conditions
were
investigated.
The
results
showed
that
enzyme
treatment
could
significantly
reduce
bitterness
astringency,
enhance
sweet
aftertaste
juice,
which
due
to
significant
decrease
in
concentration
ester
catechins
increase
concentrations
non-ester
gallic
acid
after
treatment.
In
addition,
it
also
found
extracted
with
had
less
sediment
better
stability.
Therefore,
combined
for
leaves
effectively
quality,
rate
promoting
utilization
abandon-plucked
summer.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(3), P. 1418 - 1418
Published: Jan. 30, 2025
Contaminants
of
emerging
concern
(CECs)
in
water,
including
pharmaceuticals
and
personal
care
products,
represent
a
significant
threat
to
environmental
human
health.
In
this
context,
the
electro-Fenton
(EF)
process
has
emerged
as
highly
effective
technique
for
removal
such
pollutants.
This
study
investigates
innovative
use
tea
waste
material
(TWM)
combination
with
copper-iron
nanoparticles
(FeCuNPs)
degrade
mixture
CECs.
A
central
aspect
research
is
sustainable
reuse
organic
material,
TWM,
support
catalytic
nanoparticles.
approach
not
only
utilizes
resource
that
would
otherwise
be
discarded
but
also
promotes
sustainability
treatment
contaminated
aligning
principles
circular
economy.
The
as-prepared
FeCuNPs@TWM
catalyst
was
fully
characterized,
critical
parameters
influencing
pollutant
were
assessed,
adsorption
capacity,
load,
applied
current.
Under
optimized
conditions,
EF
process,
enhanced
by
FeCuNPs@TWM,
achieved
complete
degradation
contaminants
within
15
min
electrochemical
activity
remained
after
five
cycles.
Results
demonstrate
using
functionalized
FeCu
improves
efficiency
offers
an
eco-friendly
cost-effective
alternative.
Agronomy,
Journal Year:
2025,
Volume and Issue:
15(3), P. 693 - 693
Published: March 13, 2025
Pest
infestations
have
always
been
a
major
factor
affecting
tea
production.
Real-time
detection
of
pests
using
machine
vision
is
mainstream
method
in
modern
agricultural
pest
control.
Currently,
there
notable
absence
devices
capable
real-time
monitoring
for
small-sized
the
market,
and
scarcity
open-source
datasets
available
remains
critical
limitation.
This
manuscript
proposes
YOLOv8-FasterTea
algorithm
based
on
cross-domain
transfer
learning,
which
was
successfully
deployed
novel
device.
The
proposed
leverages
learning
from
natural
language
character
domain
to
domain,
termed
complex
small
characteristics
shared
by
characters
pests.
With
sufficient
samples
can
effectively
enhance
tiny
feature
extraction
capabilities
deep
networks
mitigate
few-shot
problem
detection.
information
texture
features
are
more
likely
be
lost
with
layers
neural
network
becoming
deep.
Therefore,
method,
YOLOv8-FasterTea,
removes
P5
layer
adds
P2
target
YOLOv8
model.
Additionally,
original
C2f
module
replaced
lighter
convolutional
modules
reduce
loss
about
Finally,
this
applies
outdoor
equipment.
Experimental
results
demonstrate
that,
sample
yellow
board
dataset,
[email protected]
value
model
increased
approximately
6%,
average,
after
learning.
improved
3.7%,
while
size
reduced
46.6%.
Molecules,
Journal Year:
2025,
Volume and Issue:
30(7), P. 1543 - 1543
Published: March 30, 2025
Total
soluble
solids
(TSSs)
serve
as
a
crucial
maturity
indicator
and
quality
determinant
in
apricots,
influencing
harvest
timing
postharvest
management
decisions.
This
study
develops
an
advanced
framework
integrating
adaptive
boosting
(Adaboost)
ensemble
learning
with
high-frequency
spectral
variables
selected
by
uninformative
variable
elimination
(UVE)
for
the
rapid
non-destructive
detection
of
fruit
quality.
Near-infrared
(NIR)
spectra
(1000~2500
nm)
were
acquired
then
preprocessed
through
robust
principal
component
analysis
(ROBPCA)
outlier
combined
z-score
normalization
pretreatment.
Subsequent
data
processes
included
three
steps:
(1)
100
continuous
runs
UVE
identified
characteristic
wavelengths,
which
classified
into
levels—high-frequency
(≥90
times),
medium-frequency
(30–90
low-frequency
(≤30
times)
subsets;
(2)
development
base
optimal
partial
least
squares
regression
(PLSR)
models
each
wavelength
subset;
(3)
execution
weight
optimization
Adaboost
algorithm.
The
experimental
findings
revealed
following:
model
established
based
on
wavelengths
outperformed
both
full-spectrum
full-characteristic
model.
optimized
UVE-PLS-Adaboost
achieved
peak
performance
(R
=
0.889,
RMSEP
1.267,
MAE
0.994).
research
shows
that
UVE-Adaboost
fusion
method
enhances
prediction
accuracy
generalization
ability
multi-dimensional
feature
allocation.
proposed
enables
rapid,
apricot
TSSs
provides
reference
evaluation
other
fruits
agricultural
applications.
Fermentation,
Journal Year:
2025,
Volume and Issue:
11(4), P. 177 - 177
Published: March 28, 2025
The
growing
advocacy
for
greener
climates,
coupled
with
increasing
global
energy
demand
driven
by
urbanization
and
population
growth,
highlights
the
need
sustainable
solutions.
Repurposing
food
wastes
as
substrates
offers
a
promising
approach
to
enhancing
cleaner
generation
promoting
circular
economy.
This
study
investigated
potential
of
spent
coffee
grounds
(SC)
biosolids
cake
(BS)
from
tea
producing
valuable
fuels
chemicals
through
acetone–ethanol–butanol
(ABE)
fermentation.
Clostridium
beijerinckii
NCIMB
8052
was
used
ferment
100%
50%
hydrolysates
derived
Parr-treated
enzyme-hydrolyzed
(PEH,
PEH50),
non-hydrolyzed
(PNEH,
PNEH50),
non-Parr-treated
hydrolyzed
(NPEH)
SC
wastes,
well
(BSH,
BSH50)
BS
(NBH,
NBH50).
Fermentation
unmodified
C.
poor.
Following
CaCO3
modification
hydrolysates,
ABE
titer,
yield,
productivity
increased,
highest
values
obtained
PEH50
NBH.
Specifically,
led
increased
butanol
in
PEH50,
while
NBH
exhibited
higher
yield
than
non-CaCO3-modified
hydrolysates.
Additionally,
H2
gas
production
1.41-
1.13-fold
higher,
respectively,
other
These
findings
suggest
that
can
be
valorized
hydrogen
and,
thereby,
contribute
management,
sustainability,
cost-effective
biofuel
production.
